Independent consulting · Operations + AI

Find and fix the workflows costing your team time

I help growing businesses investigate messy operational workflows—where systems, spreadsheets, and handoffs disagree—and turn the repeated parts into reliable automation.

10+ years building production systems
  • C# / .NET
  • PostgreSQL
  • Distributed Systems
  • AI / LLMs
Operational system map
Signal active
01 / input
02 / context
03 / output

Business problem

Exception queue

12 require review

Data + APIs

3 sourcesnormalized

AI reasoning layer

Assisted
01Retrieve context
02Evaluate policy
03Propose response

Insight

Pattern found

confidence 0.94

Action layer

Route to review

human approval enabled

Problem areas / 01

Where growing teams lose time

I focus on recurring operational problems where the real cost is hidden across systems, spreadsheets, handoffs, and repeated investigation.

  • 01Reconcile

    Conflicting Systems

    The CRM, spreadsheet, operations platform, and source system show different answers, so people lose time reconstructing what actually happened.

  • 02Connect

    Spreadsheet Handoffs

    Important work depends on copying, cleaning, and re-entering information between people and systems, creating delays and avoidable mistakes.

  • 03Resolve

    Operational Exception Queues

    Unusual cases bounce between teams because the context, ownership, and safest next action are not visible in one place.

  • 04Simplify

    Repetitive Reporting & Reconciliation

    Operators rebuild the same reports, compare the same records, and explain the same discrepancies every week or month.

Services / 02

Clarity before automation

Before anyone builds a solution, we find out where the workflow is actually breaking—and whether fixing it is worth the investment.

Operational Workflow Diagnostic

One workflow. One clear decision.

We start with a recent real example and trace what happened from beginning to end. The goal is to understand the problem well enough to decide what is worth changing, automating, or leaving alone.

If the opportunity is strong, prototyping or implementation can be scoped separately after the expected value and success measure are clear.

  1. 01

    See the whole workflow

    Bring the systems, spreadsheets, decisions, and handoffs into one clear view.

  2. 02

    Put a number on the problem

    Estimate the time, delays, errors, and customer impact caused by the current process.

  3. 03

    Find the smallest useful fix

    Identify the change most likely to create measurable value without overbuilding.

  4. 04

    Leave with a practical plan

    Get a clear problem definition, success measure, and recommended next step.

Background / 03

Built from production experience

Senior backend engineering, with AI treated as part of the system—not a layer of marketing on top.

I have 10+ years of experience building production software across C#, .NET, PostgreSQL, APIs, and distributed systems.

I work with RAG, agents, model integration, and AI application architecture by starting with reliability, observability, and real economic value.

Technical expertise

SYS/STACK
  • C# / .NET
  • PostgreSQL
  • Backend Architecture
  • Distributed Systems
  • APIs
  • AI / LLM Applications
  • RAG
  • AI Agents
  • Cloud & Infrastructure

How I work / 04

From problem to working system

  1. 01

    See the real occurrence

    Understand

    Start with a recent example and understand what triggered the work, who handled it, and what outcome was needed.

  2. 02

    Trace the workflow

    Map

    Document the systems, spreadsheets, decisions, handoffs, missing context, and places where records disagree.

  3. 03

    Quantify the cost

    Measure

    Estimate frequency, labor, delays, mistakes, customer impact, and the cost of leaving the workflow unchanged.

  4. 04

    Choose the next move

    Recommend

    Define the smallest useful intervention, the expected outcome, and how the improvement should be tested.

Customer discovery / 05

Problems I'm currently investigating

I'm learning how growing businesses handle recurring operational work and where better systems or careful automation can create measurable value.

  • 01Conflicting records across systems
  • 02Manual spreadsheet handoffs
  • 03Operational exception queues
  • 04Recurring reports and reconciliation
  • 05Data-heavy customer requests

Open research note

If this happens in your business, I'd like to hear how your team handles it today.

Contact / 06

What workflow keeps costing your team time?

If a recurring process depends on manual investigation, spreadsheet handoffs, or conflicting systems, let's start with how the work happens today.

Start a conversation